% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30362 % Primary Name: CHECOTAH % Record Type: TAVG % Country: United States % State: OK % Latitude: 35.47220 +/- 0.00005 % Longitude: -95.52190 +/- 0.00005 % Elevation (m): 194.27 +/- 0.88 % # of Months: 27 % % Alternate Names: CHECOTAH 1 N % CHECOTAH 1 W % % IDs: coop - 341711 % ghcnd - USC00341711 % ncdc - 20014768 % nws - CHCO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: c8b88164cf537c221ed9a351ee9dd47d % Raw Data Hash: acd60e243ddb59a052326ccc37a065b3 % Adj Data Hash: acd60e243ddb59a052326ccc37a065b3 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 2001 6 NaN NaN NaN NaN NaN NaN 25.057 0.172 2001 7 NaN NaN NaN NaN NaN NaN 29.839 2.104 2001 8 NaN NaN NaN NaN NaN NaN 28.776 1.762 2001 9 NaN NaN NaN NaN NaN NaN 21.981 -0.841 2001 10 NaN NaN NaN NaN NaN NaN 16.265 -0.249 2001 11 NaN NaN NaN NaN NaN NaN 12.757 3.341 2001 12 NaN NaN NaN NaN NaN NaN 6.300 2.008 2002 1 NaN NaN NaN NaN NaN NaN 3.738 1.851 2002 2 NaN NaN NaN NaN NaN NaN 5.101 0.230 2002 3 NaN NaN NaN NaN NaN NaN 7.521 -2.014 2002 4 NaN NaN NaN NaN NaN NaN 17.157 1.377 2002 5 NaN NaN NaN NaN NaN NaN 19.297 -1.004 2002 6 25.778 -0.290 0 0 25.778 -0.290 25.355 0.470 2002 7 27.500 -1.419 0 0 27.500 -1.419 27.752 0.017 2002 8 28.333 0.137 0 0 28.333 0.137 27.583 0.569 2002 9 25.500 1.495 0 0 25.500 1.495 24.272 1.449 2002 10 16.000 -1.698 0 0 16.000 -1.698 14.763 -1.751 2002 11 9.722 -0.877 0 0 9.722 -0.877 8.607 -0.808 2002 12 7.222 1.747 0 0 7.222 1.747 5.461 1.168 2003 1 4.167 1.096 0 0 4.167 1.096 1.634 -0.253 2003 2 4.222 -1.831 0 0 4.222 -1.831 3.272 -1.599 2003 3 12.056 1.337 0 0 12.056 1.337 9.327 -0.208 2003 4 17.333 0.370 0 0 17.333 0.370 16.593 0.813 2003 5 22.444 0.960 0 0 22.444 0.960 20.659 0.358 2003 6 24.000 -2.068 0 0 24.000 -2.068 23.507 -1.378 2003 7 29.389 0.470 0 0 29.389 0.470 28.757 1.021 2003 8 29.278 1.081 0 0 29.278 1.081 28.421 1.407 2003 9 21.722 -2.283 0 0 21.722 -2.283 20.743 -2.079 2003 10 18.389 0.691 0 0 18.389 0.691 17.270 0.755 2003 11 12.111 1.512 0 0 12.111 1.512 10.835 1.419 2003 12 7.913 2.437 0 0 7.913 2.437 6.077 1.784 2004 1 5.248 2.178 0 0 5.248 2.178 2.985 1.097 2004 2 5.222 -0.831 0 0 5.222 -0.831 3.912 -0.958 2004 3 13.278 2.560 0 0 13.278 2.560 11.919 2.384 2004 4 17.000 0.036 0 0 17.000 0.036 16.046 0.265 2004 5 22.833 1.349 0 0 22.833 1.349 21.678 1.377 2004 6 24.611 -1.457 0 0 24.611 -1.457 24.004 -0.881 2004 7 26.889 -2.030 0 0 26.889 -2.030 25.895 -1.840 2004 8 25.722 -2.475 0 0 25.722 -2.475 24.611 -2.402 2004 9 NaN NaN NaN NaN NaN NaN 23.489 0.667 2004 10 NaN NaN NaN NaN NaN NaN 18.497 1.982 2004 11 NaN NaN NaN NaN NaN NaN 11.124 1.708 2004 12 NaN NaN NaN NaN NaN NaN 5.383 1.091 2005 1 NaN NaN NaN NaN NaN NaN 3.837 1.950 2005 2 NaN NaN NaN NaN NaN NaN 7.474 2.603 2005 3 NaN NaN NaN NaN NaN NaN 9.452 -0.083 2005 4 NaN NaN NaN NaN NaN NaN 16.085 0.304 2005 5 NaN NaN NaN NaN NaN NaN 20.003 -0.298 2005 6 NaN NaN NaN NaN NaN NaN 25.941 1.056 2005 7 NaN NaN NaN NaN NaN NaN 27.633 -0.102 2005 8 NaN NaN NaN NaN NaN NaN 27.844 0.830